Experimentation Data Scientist - A/B Testing (Hybrid)

Spectraforce Technologies

SeaTac (WA)

Hybrid

USD 76,000 - 131,000

Full time

11 days ago

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Job summary

Spectraforce Technologies is seeking a Junior Experimentation Data Scientist to drive digital experimentation and data-driven decisions. You will focus on A/B testing, statistical analysis, data analysis, and building experimentation pipelines across merchandising, loyalty, marketing, and content.

The ideal candidate has a solid foundation in data science, Python, SQL, and statistics, with strong communication and presentation skills.

Qualifications

  • Strong foundation in Data Science, Analytics, or a related field.
  • Strong Python skills.
  • Strong understanding of statistics and A/B testing.
  • Experience with SQL and data analysis.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and presentation skills.
  • Ability to work effectively with cross-functional teams.

Responsibilities

  • Analyze data and experimentation pipelines.
  • Support and analyze A/B tests and digital experiments.
  • Apply statistical concepts to evaluate experiment results.
  • Perform data quality and QA checks.
  • Analyze experiment outcomes and identify actionable insights.
  • Prepare presentations and communicate findings to stakeholders.
  • Collaborate with teams across marketing, merchandising, loyalty, and content.
  • Support the experimentation process from analysis through presentation of results.
  • Learn and apply internal tools and processes with support from the team.

Skills

Data Science
Analytics
Python
SQL
Statistics
A/B testing
Data analysis
Communication
Cross-functional teams

Tools

Databricks
Optimizely

Job description

Spectraforce Technologies is seeking a Junior Experimentation Data Scientist to drive digital experimentation and data-driven decisions. You will focus on A/B testing, statistical analysis, data analysis, and building experimentation pipelines across merchandising, loyalty, marketing, and content.

The ideal candidate has a solid foundation in data science, Python, SQL, and statistics, with strong communication and presentation skills.

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